Senior Research Associate, Computational Biology

Colossal•Dallas, TX

1d•Onsite

About The Position

An affiliate of Colossal is seeking a talented Senior Research Associate in computational biology with strong analytical skills to tackle challenging genotype-to-phenotype questions. The successful candidate will collaborate with scientists and engineers to perform bioinformatics analyses and integrate genomic, epigenomic, transcriptomic, and proteomic datasets to support Colossal Bioscience’s de-extinction efforts. The candidate must have experience in bioinformatics or computational biology. Preference will be given to candidates with a Masters degree who have experience analyzing and integrating diverse omics modalities (e.g., genomics, epigenomics, transcriptomics, proteomics) using functional annotations and ontologies in the context of data-sparse or non-model organisms. This position will be based on-site in Dallas, TX. Relocation assistance is available.

Requirements

Two years of bioinformatics experience in the following areas: Functional Genomics / Multi-Omics, Comparative Genomics, Molecular Evolution, or Applied Statistics in Genomics.
Capable of leveraging knowledge across multiple levels of biological organization to validate the outputs of complex, integrative analyses.
Demonstrated 2 years of experience with scripting languages, including but not limited to: Python, R, Perl, Ruby, Java, and BASH.
Ability to write and run custom bioinformatics scripts using existing published tools and occasionally tools developed to summarize the results in a digestible manner and deliver the information using established reporting procedures.
Proficiency with handling large-scale genomic data in an HPC (SGE, SLURM, PBS) Linux and/or cloud environment (e.g. AWS, Google Cloud, Azure).
Experience in using GIT version control software and maintaining well-documented, reproducible notebooks and workflows.
Ability to design and maintain databases (MySQL, PostgreSQL, MongoDB) and connect with visual platforms to curate and share data with non-bioinformatics team members.
Self-motivated, proactive, and detail oriented, along with the ability to perform well under pressure and deadlines
Enthusiasm for learning new skills and taking on new responsibilities
Strong written and oral communication skills, as well as creative problem-solving skills
Able to excel in a fast-paced startup environment and participate in team-driven science

Nice To Haves

Executing rigorous analyses of diverse functional epigenomics approaches (e.g., RNA-seq and ATAC-seq) and integrating multi-omics datasets to aid in understanding of gene expression regulation
Constructing, interpreting, and utilizing pangenome graphs, whole genome alignments, and gene homology relationships
Familiarity in producing and curating genomic resources (e.g., reference genomes and gene annotations) for vertebrate organisms, especially in non-traditional model systems.
Experience calling germline and somatic sequence variants from high-coverage WGS, low-coverage WGS with imputation, and sequencing libraries from degraded or ancient DNA
Understanding of precision gene editing technologies like CRISPR/Cas9 systems

Responsibilities

Run data analysis with biological data
Run comparative, functional, and statistical genomics analysis
Develop new tools in R/Python for data analysis and visualization
Maintain electronic laboratory records and prepare reports or presentations to communicate findings to wet-bench biologists and leadership